Lesson 1: Basics of AI
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What is Artificial Intelligence - Simulating human-like intelligence
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Machine Learning vs AI - Pattern learning vs logic
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AI Use Cases in Business - Chatbots, prediction, automation
Lesson 2: Azure AI Services Overview
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Categories of Services - Vision, Speech, Language, Decision
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Responsible AI Principles - Fairness, Transparency, Privacy
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Accessing AI in Azure - Azure Portal, SDKs, REST APIs
Lesson 1: Vision Services
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Computer Vision - Image analysis, OCR
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Face API - Detection, Identification
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Custom Vision - Train custom image classifiers
Lesson 2: Language Services
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Language Understanding (LUIS) - Intent & entity recognition
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Text Analytics - Sentiment, key phrases
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Translator - Multilingual text translation
Lesson 3: Speech Services
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to-Text - Convert audio to text
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Text-to-Speech - Read text aloud
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Speech Translation - Real-time speech translation
Lesson 4: Decision Services
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Personalizer - Content recommendation
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Anomaly Detector - Identify unusual patterns
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Metrics Advisor - Real-time metrics monitoring
Lesson 1: Introduction to Azure ML
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Azure ML Studio - No-code model builder
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Workspaces & Pipelines - Projects, experiments
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Designer vs Notebooks - Drag-drop vs code
Lesson 2: Automated ML & Responsible AI
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AutoML Features - Model selection, tuning
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Model Explainability - SHAP, interpretability
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Bias Detection & Ethics - Fairness tools
Lesson 3: Deploy & Monitor Models
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Real-time Inference - Endpoints, REST APIs
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Batch Scoring - Offline predictions
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Model Monitoring - Drift, accuracy
- CategoryAzure
- LevelBeginner
- Duration3 Months
- Available SeatsUnlimited
Course Key Highlights
Real-Time Experts
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Flexibility To Assist
Flexible learning options to assist you in every way possible.
No Cost EMI
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Free Soft Skills
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